{"id":14359,"date":"2022-07-21T09:00:39","date_gmt":"2022-07-21T03:30:39","guid":{"rendered":"https:\/\/copyassignment.com\/?p=14359"},"modified":"2022-08-27T09:37:32","modified_gmt":"2022-08-27T04:07:32","slug":"python-time-complexity-calculator","status":"publish","type":"post","link":"https:\/\/copyassignment.com\/python-time-complexity-calculator\/","title":{"rendered":"Python Time Complexity Calculator"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p>In this article, we are going to develop a simple Project of <strong>Python Time Complexity Calculator<\/strong>. You can learn what is complexity and what is time complexity here. So, <strong>what is Time complexity?<\/strong> Time Complexity of an algorithm is calculated by counting the number of basic operations executed by the algorithm, assuming that each elementary operation takes a constant amount of time to execute.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Python Time Complexity Calculator<\/h2>\n\n\n\n<p>We will be using the <strong>big-o-calculator<\/strong> library for estimating the temporal or time complexity of sorting methods in Python. If the big-o-calculator is not installed in your python library, first of all, install it.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>Installation<\/strong><\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code>pip install big-o-calculator<\/code><\/pre>\n\n\n\n<p>You may evaluate time complexity, compute runtime, and compare two sorting algorithms with this big-o-calculator but sometimes results may vary.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Methods<\/h3>\n\n\n\n<p>There are a lot of methods available in the bio-o-calculator library, basically, it is a calculator to estimate the time complexity of a  sorting function. Some of the important methods of bio-o-calculator library are <strong>test()<\/strong>,  <strong>test_all()<\/strong>, <strong>runtime()<\/strong>, <strong>compare()<\/strong>,etc.  All these methods contain many parameters. Now, let&#8217;s see Python Time Complexity Calculator code now.<\/p>\n\n\n\n<script async=\"\" src=\"https:\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js\"><\/script>\n<ins class=\"adsbygoogle\" style=\"display:block; text-align:center;\" data-ad-layout=\"in-article\" data-ad-format=\"fluid\" data-ad-client=\"ca-pub-9886351916045880\" data-ad-slot=\"2002566052\"><\/ins>\n<script>\n     (adsbygoogle = window.adsbygoogle || []).push({});\n<\/script>\n\n\n\n<h3 class=\"wp-block-heading\">Code<\/h3>\n\n\n\n<pre class=\"wp-block-code\"><code>from bigO import BigO\nfrom bigO import algorithm\nfrom random import randint\nfname=input(\"Enter algorithm name:\")\ndef fname(array):  # in-place, unstable\n    '''\n    Best : O(n^2) Time | O(1) Space\n    Average : O(n^2) Time | O(1) Space\n    Worst : O(n^2) Time | O(1) Space\n    '''\n    currentIndex = 0\n    while currentIndex &lt; len(array) - 1:\n        smallestIndex = currentIndex\n        for i in range(currentIndex + 1, len(array)):\n            if array&#91;smallestIndex] &gt; array&#91;i]:\n                smallestIdx = i\n        array&#91;currentIndex], array&#91;smallestIndex] = array&#91;smallestIndex], array&#91;currentIndex]\n        currentIndex += 1\n    return array\n\ndef TimeComplexity(functionname):\n    lib = BigO()\n    cmplx = lib.test(functionname, \"random\")\n    cmplx = lib.test(functionname, \"sorted\")\n    cmplx = lib.test(functionname, \"reversed\")\n    cmplx = lib.test(functionname, \"partial\")\n    cmplx = lib.test(functionname, \"Ksorted\")\n\nTimeComplexity(fname)\n<\/code><\/pre>\n\n\n\n<p>We are using the Selection Sort algorithm to understand the working of the big-o-calculator library of python.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img decoding=\"async\" data-src=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3.png\" alt=\"python big o calculator\" class=\"wp-image-14607 lazyload\" width=\"840\" height=\"511\" data-srcset=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3.png 891w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-300x183.png 300w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-768x468.png 768w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-675x411.png 675w\" data-sizes=\"(max-width: 840px) 100vw, 840px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 840px; --smush-placeholder-aspect-ratio: 840\/511;\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"927\" height=\"201\" data-src=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-1.png\" alt=\"big o notation calculator python\" class=\"wp-image-14608 lazyload\" data-srcset=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-1.png 927w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-1-300x65.png 300w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-1-768x167.png 768w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img3-1-675x146.png 675w\" data-sizes=\"(max-width: 927px) 100vw, 927px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 927px; --smush-placeholder-aspect-ratio: 927\/201;\" \/><\/figure>\n\n\n\n<p><strong>Explanation:<\/strong><\/p>\n\n\n\n<p>For calculating the time complexity, you just need to enter the algorithm name and then define the function for this particular algorithm as we did with selectionSort in the example above. After that, we just test the algorithm with the help of the test() function of BigO and it will show all the results. You can test it with other algorithms as well.<\/p>\n\n\n\n<script async=\"\" src=\"https:\/\/pagead2.googlesyndication.com\/pagead\/js\/adsbygoogle.js\"><\/script>\n<ins class=\"adsbygoogle\" style=\"display:block; text-align:center;\" data-ad-layout=\"in-article\" data-ad-format=\"fluid\" data-ad-client=\"ca-pub-9886351916045880\" data-ad-slot=\"2002566052\"><\/ins>\n<script>\n     (adsbygoogle = window.adsbygoogle || []).push({});\n<\/script>\n\n\n\n<h3 class=\"wp-block-heading\">Comparison of two algorithms<\/h3>\n\n\n\n<p>You can also compare two algorithms. For comparison, we need two algorithms. So, one we are taking bubble sort and second quick sort. Now, let&#8217;s see the Python Time Complexity Calculator code for a comparison of two algorithms.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Code<\/h4>\n\n\n\n<pre class=\"wp-block-code\"><code>from bigO import BigO\nfrom bigO import algorithm\nfrom random import randint\nfname=input(\"Enter algorithm name:\")\nfname1=input(\"Enter algorithm name\")\ndef fname(array): #bubbleSort algorithm\n    \"\"\"\n    Best:O(n) time| O(1) space\n    Average: O(n^2) time | O(1) space\n    Worst: O(n^2) time | O(1) space\n    \"\"\"\n    n = len(array) \n    # Traverse through all array elements \n    for i in range(n): \n        # Last i elements are already in place \n        for j in range(0, n-i-1): \n            # traverse the array from 0 to n-i-1 \n            # Swap if the element found is greater \n            # than check the next element \n            if array&#91;j] &gt; array&#91;j+1]: \n                array&#91;j], array&#91;j+1] = array&#91;j+1], array&#91;j] \ndef fname1(array):  # in-place | not-stable quicksort algorithm\n    \"\"\"\n    Best : O(nlogn) Time | O(logn) Space\n    Average : O(nlogn) Time | O(logn) Space\n    Worst : O(n^2) Time | O(logn) Space\n    \"\"\"\n    if len(array) &lt;= 1:\n        return array\n    smaller, equal, larger = &#91;], &#91;], &#91;] #taking 3 arrays small, equal and large\n    pivot = array&#91;randint(0, len(array) - 1)] #finding the pivot element\n    for x in array:   #traverse each element of array\n        if x &lt; pivot:\n            smaller.append(x) #if x element is smaller than pivot element then move it in small array \n        elif x == pivot:\n            equal.append(x) #if x element is equal to pivot element then move it in equal array\n        else:\n            larger.append(x) # if x element is equal to pivot element then move it in large array\n    return fname1(smaller) + equal + fname1(larger) #now again \ndef TimeComplexity(functionname,functionname1):\n    lib = BigO()\n    cmplx = lib.test(functionname, \"random\")\n    cmplx = lib.test(functionname, \"sorted\")\n    cmplx = lib.test(functionname, \"reversed\")\n    cmplx = lib.test(functionname1, \"random\")\n    cmplx = lib.test(functionname1, \"sorted\")\n    cmplx = lib.test(functionname1, \"reversed\")\n    cmplx=lib.compare(fname,fname1,\"random\",5000)\n    cmplx=lib.compare(fname,fname1,\"all\",5000)\n  \nTimeComplexity(fname,fname1)<\/code><\/pre>\n\n\n\n<p><strong>Explanation:<\/strong><\/p>\n\n\n\n<p>For comparing two algorithms we are using compare method of BigO.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li>fname is for bubbleSort algorithm and fname1 is for quickSort. <\/li><li>Select a random array with size 5000.<\/li><li>The second time we compare all types of arrays and the size is 5000 in all cases.<\/li><\/ul>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"869\" height=\"553\" data-src=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4.png\" alt=\"python time complexity calculator\" class=\"wp-image-14614 lazyload\" data-srcset=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4.png 869w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-300x191.png 300w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-768x489.png 768w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-675x430.png 675w\" data-sizes=\"(max-width: 869px) 100vw, 869px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 869px; --smush-placeholder-aspect-ratio: 869\/553;\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"877\" height=\"543\" data-src=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-1.png\" alt=\"big o calculator python\" class=\"wp-image-14615 lazyload\" data-srcset=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-1.png 877w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-1-300x186.png 300w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-1-768x476.png 768w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-1-675x418.png 675w\" data-sizes=\"(max-width: 877px) 100vw, 877px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 877px; --smush-placeholder-aspect-ratio: 877\/543;\" \/><\/figure>\n\n\n\n<figure class=\"wp-block-image size-full\"><img decoding=\"async\" width=\"871\" height=\"475\" data-src=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-2.png\" alt=\"time complexity calculator python\" class=\"wp-image-14616 lazyload\" data-srcset=\"https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-2.png 871w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-2-300x164.png 300w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-2-768x419.png 768w, https:\/\/copyassignment.com\/wp-content\/uploads\/2022\/07\/img4-2-675x368.png 675w\" data-sizes=\"(max-width: 871px) 100vw, 871px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 871px; --smush-placeholder-aspect-ratio: 871\/475;\" \/><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Summary<\/strong><\/h2>\n\n\n\n<p>Using the Python big-o-calculator library and some code, we have constructed a simple python time complexity calculator that allows us to simply compute the time complexity for different algorithms.<\/p>\n\n\n\n<p>Thank you for reading this article, <a href=\"https:\/\/copyassignment.com\/python\/\">click here<\/a> to start learning Python in 2022.<\/p>\n\n\n\n<div 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You can learn what is complexity and what&#8230;<\/p>\n","protected":false},"author":62,"featured_media":14820,"comment_status":"open","ping_status":"open","sticky":true,"template":"","format":"standard","meta":{"footnotes":""},"categories":[22,1403,1894],"tags":[],"class_list":["post-14359","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allcategorites","category-python-projects","category-tutorial","wpcat-22-id","wpcat-1403-id","wpcat-1894-id"],"_links":{"self":[{"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/posts\/14359","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/users\/62"}],"replies":[{"embeddable":true,"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/comments?post=14359"}],"version-history":[{"count":0,"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/posts\/14359\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/media\/14820"}],"wp:attachment":[{"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/media?parent=14359"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/categories?post=14359"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/copyassignment.com\/wp-json\/wp\/v2\/tags?post=14359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}